In a time of reduced budgets for research and science data sharing can provide researchers with the ability to connect and collaborate with colleagues to conduct new research. This can also increase efficiency by allowing researchers the opportunity to build upon the work of others instead of having them replicate previous research.
Data sharing tools can help unify teams around a common vision, improve efficiency and decision-making, and encourage innovation and improvements in data quality across departments. This is why transparent business conduct it’s crucial to choose the right data sharing tool that supports the speed, scale, and the governance needs of your company.
Historically, to transfer data between different parts of an organization users have had to manually slice and dice the datasets they want to share and then create copies of the data for customer use on their own. This can create security concerns (recreating the same dataset in different regions is risky) and could be a burden in terms of the management of data.
The Databricks Delta Sharing platform enables users to create a single, dynamic view of their most critical, real-time data. The shared data can be instantly consumed by multiple business stakeholders across a wide variety of applications, including Databricks and non-Databricks platforms. This allows analytics teams to spend more of their time on analysis and less on manual work such as creating reports for internal business stakeholders or answering tickets from IT. This results in better decision-making, faster projects and higher productivity.
